Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy cutting-edge generative video models using advanced AI techniques.
- Company: Leading GenAI company revolutionising VFX and digital content creation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant impact in the creative tech industry.
- Why this job: Join a pioneering team and shape the future of AI-driven video technology.
- Qualifications: 5+ years in Machine Learning with strong expertise in PyTorch or TensorFlow.
The predicted salary is between 70000 - 90000 £ per year.
We’re partnered with a leading GenAI company redefining VFX, digital humans, and AI-driven content creation, now scaling their video generation and multimodal AI capabilities.
They’re hiring a Senior Machine Learning Engineer to build state-of-the-art generative video systems, working across everything from diffusion models to neural rendering.
What you’ll do:
- Design, train, and deploy cutting-edge generative video models
- Work across diffusion, transformers, GANs, autoencoders, and NeRF-based systems
- Build scalable ML pipelines for video synthesis, performance transfer, and visual translation
- Partner with research, product, and creative teams to take models from research → production
- Optimise models for real-world deployment (latency, scale, efficiency)
What they’re looking for:
- 5+ years in Machine Learning / Software Engineering
- Strong experience deploying ML systems into production
- Deep expertise in PyTorch or TensorFlow
- Hands-on experience with generative video models i.e. Diffusion models, Transformers (video / multimodal), GANs / VAEs / Autoencoders, Neural rendering (e.g. NeRFs)
Nice to have:
- Experience in VFX, graphics, or real-time rendering pipelines
- Work on multimodal or video/audio generative systems
- Performance optimisation (training + inference)
- Research background or open-source contributions
Senior Machine Learning Engineer in Gloucester employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in Gloucester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative video models. We recommend including links to GitHub repos or demos that highlight your expertise in PyTorch or TensorFlow.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of diffusion models, GANs, and other relevant tech. We suggest doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team in redefining VFX and AI-driven content creation.
We think you need these skills to ace Senior Machine Learning Engineer in Gloucester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with generative video models and ML systems. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in PyTorch or TensorFlow!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about generative AI and how your background makes you the perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool projects related to video synthesis or multimodal systems, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at DeepRec.ai
✨Know Your Models Inside Out
Make sure you’re well-versed in the generative video models mentioned in the job description, like diffusion models and GANs. Be ready to discuss your hands-on experience with these technologies and how you've deployed them in production.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced while optimising ML models for real-world deployment. Highlight your strategies for improving latency, scale, and efficiency, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Collaborate Like a Pro
Since the role involves partnering with research, product, and creative teams, think of instances where you’ve successfully collaborated across disciplines. Be ready to explain how you communicate complex technical concepts to non-technical stakeholders.
✨Stay Updated on Trends
Familiarise yourself with the latest trends in generative AI and VFX. Being able to discuss recent advancements or innovations in the field will show your passion and commitment to staying at the forefront of technology.